Meet Our Pre-Incubatees
SMVDU–TBIC Cohort 1
The inaugural SMVDU–TBIC Pre-Incubation Cohort brings together student founders building ventures across retail technology, artificial intelligence and digital signal processing. These founders are turning innovative ideas into scalable ventures with the mentorship and support of SMVDU–TBIC.
Cohort Startup Showcase
Three student-led ventures selected into Pre-Incubation Cohort-1, each supported with mentorship, technical guidance and entrepreneurial resources at the SMVDU Technology Business Incubation Centre.
Libastra
Founded by Madhav Bakshi, Libastra is building an “Intelligence and Experience Layer” for local fashion retail — combining AI demand forecasting, in-store virtual try-on and direct artisan fulfilment to eliminate dead stock and create high-margin work for traditional Kadhai artisans.
Innovation Overview
Libastra: Empowering Retail, Elevating Artisans. Libastra is an AI-powered B2B2C hyperlocal fashion ecosystem designed to solve major inefficiencies in the Indian offline retail market. Local clothing shops currently face massive financial losses from “dead stock,” while traditional Kadhai artisans struggle with inconsistent income.
Libastra provides a SaaS dashboard that uses AI to scrape regional trends and advise retailers on precise inventory purchases, helping reduce and ultimately eliminate dead stock. In-store, customers use a digital tablet equipped with an AI virtual try-on overlay to visualise unstitched fabrics as finished suits.
At checkout, an automated premium option routes high-margin custom embroidery work directly to local artisans. Now entering its pre-incubation pilot phase, Libastra acts as an “Intelligence and Experience Layer” that modernises local retail while driving grassroots economic growth.
The Libastra Intelligence + Experience Layer
Core Team
Madhav Bakshi
Founder & CEO / AI Architect
B.Tech CSE · 3rd Year
Core ecosystem vision, virtual try-on technology and overall AI logic.
LinkedIn
Madhav Sharn
Chief Strategy Officer
B.Tech CSE · 4th Year
Product roadmap, market-future analysis and high-level team strategy.
Mukti Porwal
Lead Developer
B.Tech CSE · 3rd Year
B2B SaaS dashboard, database architecture and complex API integrations.
Shubham Sani
Core Developer
B.Tech CSE · 3rd Year
Technical execution, feature development and frontend UI.
Key Highlights
- Secured SMVDU–TBIC Pre-Incubation Cohort-1 selection
- Features 100% in-house AI architecture
- AI-powered SaaS and virtual try-on ecosystem that eliminates “dead stock” for local clothing retailers
- Provides a direct, high-margin pipeline for traditional Kadhai artisans
- Aligns high-tech retail solutions with grassroots social entrepreneurship
Intelligence for retail. Opportunity for artisans.
Prix AI
Founded by Sachin Tripathi, Prix AI helps startups and growing businesses make smarter marketing decisions — turning scattered market, competitor, audience and business data into actionable growth intelligence inside a single AI-powered dashboard.
Innovation Overview
Prix AI is an AI-powered marketing intelligence platform that helps startups, SaaS companies, D2C brands and emerging businesses turn scattered market, competitor, audience and business data into actionable growth intelligence. The platform brings competitor analysis, market analysis, audience insights, growth opportunities and strategic marketing recommendations together in a unified AI-powered dashboard.
Problem
Startups, SaaS companies, D2C brands and emerging businesses encounter large amounts of data across websites, social media, advertisements, search engines, reviews and competitor activities. Many lack the resources, expertise or tools needed to convert this scattered information into actionable marketing decisions — resulting in assumption-driven strategies, inefficient spending, missed opportunities and slower growth.
What Makes It Different
Unlike conventional tools that address analytics, content creation, advertising or research separately, Prix AI combines competitor intelligence, market analysis, audience insights and growth recommendations in one platform. It studies the broader market ecosystem around a business and transforms complex information into actionable recommendations, reducing the need for multiple tools, manual research and expensive consulting.
Product Intelligence Flow
Core Team
Sachin Tripathi
Founder & Product Lead
B.Tech CSE
Product development, AI-powered applications, software engineering and product strategy.
LinkedIn
Yash Srivastava
AI & Data Intelligence Lead
B.Tech CSE
AI/ML, data intelligence, data analysis and AI model integration.
LinkedIn
Utkarsh Chaudhary
Platform Engineering Lead
B.Tech CSE
Full-stack development, backend / frontend engineering and cloud deployment.
LinkedInTeam capability: AI/ML, data intelligence, software engineering, full-stack development, cloud deployment, product prototyping and entrepreneurship.
Key Highlights
- Team secured First Position at the IIT Jammu Udyamotsav CXO Roundtable Competition
- Helps startups and growing businesses make smarter, data-driven marketing decisions
- Combines competitor intelligence, market analysis, audience insights, growth opportunities and recommendations
- Unified dashboard designed to reduce dependence on multiple tools and manual market research
- Planned progression: Prototype → Validation → Pilot Users → Launch → Scale
Building the future of marketing intelligence — accessible and affordable for every startup and growing business.
MANTRIX
Founded by Shrikant Jha, MANTRIX is an AI-driven speech intelligence platform that understands emotions, intent and sentiment from the human voice in real time.
Innovation Overview
MANTRIX is an AI-driven speech intelligence startup focused on understanding human emotions and intent from voice. Existing sentiment analysis systems mainly rely on text and often miss important emotional cues such as tone, pitch and speaking style. To address this, MANTRIX combines speech and language analysis to provide more accurate sentiment detection in real time.
The solution uses adaptive AI that continuously improves through feedback, making it more effective in real-world conversations. The platform can support applications in customer service, education, HR and voice analytics. A working prototype has been developed and validated on standard speech datasets.
The vision is to enable machines to understand not only what people say, but also how they feel — creating more intelligent, empathetic and effective digital systems through better human-machine communication.
Founder
Shrikant Jha
Founder
Electronics & Communication · 4th Year
Working knowledge of digital signal processing; solely responsible for the end-to-end development of the project.
LinkedInKey Highlights
- AI-driven real-time emotion, intent and sentiment detection from voice
- Working prototype developed and validated on standard speech datasets
- Adaptive AI architecture that continuously improves through feedback
- Potential applications across customer service, education, HR and voice analytics
- Combines speech and language analysis rather than relying on text alone
Enabling machines to understand not only what people say, but how they feel.
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